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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 14781
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    Explanations

    sections related to monetary transactions or financial matters

    oai_token-act-pair · gpt-3.5-turbo

    references to money and financial expenditures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ICLE
    -0.93
    spect
    -0.73
     Halls
    -0.65
    dq
    -0.62
     Sed
    -0.61
     Doctrine
    -0.61
     Klu
    -0.60
    umbn
    -0.60
     Gree
    -0.58
    Minor
    -0.58
    POSITIVE LOGITS
     laundering
    1.30
    bags
    0.97
    dollar
    0.94
     invested
    0.92
     ($
    0.91
     ($)
    0.91
    $$$$
    0.85
     dollars
    0.84
     spent
    0.83
    aundering
    0.82
    Activations Density 0.042%

    No Known Activations